Tat-Ming Lok
Applied Mathematics and Computation · 2007
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Whom Tat-Ming Lok trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Tat-Ming Lok overall
Papers from Tat-Ming Lok's perspective
Ordered by how strongly the researchers Tat-Ming Lok trusts endorse each paper. Same corpus, a different order for every researcher.
- Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
- Learning internal representations by error propagation
- Multilayer feedforward networks are universal approximators
- Increased rates of convergence through learning rate adaptation
- Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
- A new optimizer using particle swarm theory
- An evolutionary algorithm that constructs recurrent neural networks
- Gradient descent learning algorithm overview: a general dynamical systems perspective
- A review of evolutionary artificial neural networks
- Particle swarm optimization versus genetic algorithms for phased array synthesis (IEEE Transactions on Antennas and Propagation)